What is the benefit of partitioning a session?
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how we do performence tuning in informatica
What are the different options available for update strategy?
Hi, If any hav Informatica n DWH FAQ's,Plz do fwd to vanibv6@gmail.com Thnx Vani
If we have lookup table in workflow how do you trouble shhot to increase performance?
What are the differences between a connected lookup and unconnected lookup?
what is the complex transformation you used in informatica
what is the gap analysis?
wtite sql query following table are city gender no chennai male 40 chennai female 35 bangalore male 10 bangalore female 25 mumbai female 15 i want the output? city male female chennai 40 35 bangalore 10 25 mumbai null 15
select count(1) from emp? what is the o/p?
rank() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid order by case when opt2.dm_market_flg in ('Y', 'U') then 1 else 2 end, lkp.contact_rank) as rank1, case opt2.contact_type when 'Buyer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, ship_to_flg desc , last_order_dt desc) when 'Decision Maker' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc , last_quote_dt desc , mailability_score desc , source_ranking desc) when 'Influencer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) when 'Payer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) --elu 05/28/2013 else row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) end rank2 row_number() over (partition by opt3.dim_plat_site_id, opt3.dim_site_opt_sid order by rank1,rank2) as "rank", case when "rank"<= opt3.maximum_value then 'Y' else 'N' end as include_flg
Explain the different kinds of facts.
I have Flat file like the data, sal have 10,000. I want to load the data in the same format as sal as 10,000. Can anybody know the answer means please mail me. Thanks in advance.. My mail id is chandranmca2007@gmail.com